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// __ _____ __ ___ ___ __ _| |_ ___
// \ \ /\ / / _ \/ _` \ \ / / |/ _` | __/ _ \
// \ V V / __/ (_| |\ V /| | (_| | || __/
// \_/\_/ \___|\__,_| \_/ |_|\__,_|\__\___|
//
// Copyright © 2016 - 2025 Weaviate B.V. All rights reserved.
//
// CONTACT: hello@weaviate.io
//
package moddatabricks
import (
"context"
"os"
"time"
"github.com/pkg/errors"
"github.com/sirupsen/logrus"
"github.com/weaviate/weaviate/entities/models"
"github.com/weaviate/weaviate/entities/modulecapabilities"
"github.com/weaviate/weaviate/entities/moduletools"
"github.com/weaviate/weaviate/modules/text2vec-databricks/clients"
"github.com/weaviate/weaviate/modules/text2vec-databricks/ent"
"github.com/weaviate/weaviate/usecases/modulecomponents/additional"
"github.com/weaviate/weaviate/usecases/modulecomponents/batch"
"github.com/weaviate/weaviate/usecases/modulecomponents/text2vecbase"
)
const (
Name = "text2vec-databricks"
)
var batchSettings = batch.Settings{
TokenMultiplier: 0,
MaxTimePerBatch: float64(10),
MaxObjectsPerBatch: 2000,
MaxTokensPerBatch: func(cfg moduletools.ClassConfig) int { return 500000 },
HasTokenLimit: false,
ReturnsRateLimit: false,
}
func New() *DatabricksModule {
return &DatabricksModule{}
}
type DatabricksModule struct {
vectorizer text2vecbase.TextVectorizerBatch[[]float32]
metaProvider text2vecbase.MetaProvider
graphqlProvider modulecapabilities.GraphQLArguments
searcher modulecapabilities.Searcher[[]float32]
nearTextTransformer modulecapabilities.TextTransform
logger logrus.FieldLogger
additionalPropertiesProvider modulecapabilities.AdditionalProperties
}
func (m *DatabricksModule) Name() string {
return Name
}
func (m *DatabricksModule) Type() modulecapabilities.ModuleType {
return modulecapabilities.Text2ManyVec
}
func (m *DatabricksModule) Init(ctx context.Context,
params moduletools.ModuleInitParams,
) error {
m.logger = params.GetLogger()
if err := m.initVectorizer(ctx, params.GetConfig().ModuleHttpClientTimeout, m.logger); err != nil {
return errors.Wrap(err, "init vectorizer")
}
if err := m.initAdditionalPropertiesProvider(); err != nil {
return errors.Wrap(err, "init additional properties provider")
}
return nil
}
func (m *DatabricksModule) InitExtension(modules []modulecapabilities.Module) error {
for _, module := range modules {
if module.Name() == m.Name() {
continue
}
if arg, ok := module.(modulecapabilities.TextTransformers); ok {
if arg != nil && arg.TextTransformers() != nil {
m.nearTextTransformer = arg.TextTransformers()["nearText"]
}
}
}
if err := m.initNearText(); err != nil {
return errors.Wrap(err, "init graphql provider")
}
return nil
}
func (m *DatabricksModule) initVectorizer(ctx context.Context, timeout time.Duration,
logger logrus.FieldLogger,
) error {
databricksToken := os.Getenv("DATABRICKS_TOKEN")
client := clients.New(databricksToken, timeout, logger)
m.vectorizer = text2vecbase.New(client,
batch.NewBatchVectorizer(client, 50*time.Second, batchSettings,
logger, m.Name()),
batch.ReturnBatchTokenizer(batchSettings.TokenMultiplier, m.Name(), ent.LowerCaseInput),
)
m.metaProvider = client
return nil
}
func (m *DatabricksModule) initAdditionalPropertiesProvider() error {
m.additionalPropertiesProvider = additional.NewText2VecProvider()
return nil
}
func (m *DatabricksModule) VectorizeObject(ctx context.Context,
obj *models.Object, cfg moduletools.ClassConfig,
) ([]float32, models.AdditionalProperties, error) {
icheck := ent.NewClassSettings(cfg)
return m.vectorizer.Object(ctx, obj, cfg, icheck)
}
func (m *DatabricksModule) VectorizeBatch(ctx context.Context, objs []*models.Object, skipObject []bool, cfg moduletools.ClassConfig) ([][]float32, []models.AdditionalProperties, map[int]error) {
vecs, errs := m.vectorizer.ObjectBatch(ctx, objs, skipObject, cfg)
return vecs, nil, errs
}
func (m *DatabricksModule) MetaInfo() (map[string]interface{}, error) {
return m.metaProvider.MetaInfo()
}
func (m *DatabricksModule) AdditionalProperties() map[string]modulecapabilities.AdditionalProperty {
return m.additionalPropertiesProvider.AdditionalProperties()
}
func (m *DatabricksModule) VectorizeInput(ctx context.Context,
input string, cfg moduletools.ClassConfig,
) ([]float32, error) {
return m.vectorizer.Texts(ctx, []string{input}, cfg)
}
func (m *DatabricksModule) VectorizableProperties(cfg moduletools.ClassConfig) (bool, []string, error) {
return true, nil, nil
}
// verify we implement the modules.Module interface
var (
_ = modulecapabilities.Module(New())
_ = modulecapabilities.Vectorizer[[]float32](New())
_ = modulecapabilities.MetaProvider(New())
_ = modulecapabilities.Searcher[[]float32](New())
_ = modulecapabilities.GraphQLArguments(New())
)
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